Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery
Recent advances in high-throughput technique enables the generation of a large amount of omic data such as genomics, transcriptomics, proteomics, metabolomics, glycomics etc. Typically, differential expression analysis (e.g., student's t-test, ANOVA) is performed to identify biomolecules (e.g.,...
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| Format: | Others |
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Virginia Tech
2017
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| Online Access: | http://hdl.handle.net/10919/78217 |